WMS MAG–NET is an exciting five–year project aiming to develop novel, resilient, nutrient management strategies for the UK ruminant sector. The primary nutritional focus is magnesium (Mg) due to its strategic importance to the ruminant sector. However, new data, knowledge and communication tools arising from this project will apply to other nutrients / elements, thereby supporting more resilient production systems and improving our wider understanding of landscape–scale processes. Magnesium (Mg) plays an important role in many basic processes in living cells, and is therefore essential for animal health. Low Mg status (hypomagnesaemia) gives rise to conditions called tetany, or staggers, in ruminants like cattle and sheep. These conditions are remarkably widespread among ruminants in Europe, often with high fatality rates. Avoiding hypomagnesaemia is therefore important for animal welfare and farm business profitability. Typically the condition is managed by use of feed mixes or dietary supplements or by directly administering Mg to animals as a medicine. However, these approaches are costly and can be inefficient and ineffective. Another approach is to ensure that the grass grazed by animals in the field or eaten as hay or silage provides a good source of Mg. This approach is under–developed in UK agriculture, as is forage fertiliser management. We aim to develop novel and resilient nutrient management strategies for Mg in the UK ruminant sectors. The primary nutritional focus of this project is Mg due to its strategic importance to the UK ruminant sector. However, new data, knowledge and management and communication tools arising from this project will apply to other nutrients/elements which are important for animal health. The project will therefore have wider potential to make animal production more efficient and resilient and will improve our wider understanding of landscape-scale processes. Map Geology Soil United Kingdom Magnesium Nutrient Management MD_DATE@2022 MD_LANG@ENG Garry Baker British Geological Survey Head of BGS Data Centre postal

British Geological Survey Environmental Science Centre

Keyworth Nottingham NG12 5GG UK +44 (0)115 936 3100 +44 (0)115 936 3200 enquiries@bgs.ac.uk none These data are delivered under the terms of the Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/), subject to the following acknowledgement accompanying the reproduced BGS materials: Contains British Geological Survey materials copyright NERC [year]. Contact us if you create something new and innovative that could benefit others usingbgsdata@bgs.ac.uk. 4096 4096 application/vnd.ogc.wms_xml text/xml image/bmp image/jpeg image/tiff image/png image/png8 image/png24 image/png32 image/gif image/svg+xml application/vnd.esri.wms_raw_xml application/vnd.esri.wms_featureinfo_xml application/vnd.ogc.wms_xml application/geo+json text/xml text/html text/plain application/vnd.ogc.se_xml application/vnd.ogc.se_inimage application/vnd.ogc.se_blank text/xml XML https://map.bgs.ac.uk/arcgis/services/UKSO/UKSO_MAGNET/MapServer/WMSServer? service 2022-02-01 - 2022-02-01 notEvaluated Garry Baker enqiries@bgs.ac.uk 2022-02-01 view infoMapAccessService eng eng CRS:84 EPSG:4326 EPSG:3857 -6.2387342.07966649.94610555.806278 Probability.plant.available.Mg The probability that plant–available Mg concentration in soil is below RB209 Index 2, i.e. <51 mg L‐1, is presented here using a combination of colour, numerical (percentage) and verbal scales to communicate the uncertainty of this outcome. These probabilities are obtained from the combined statistical analysis of two national-scale data sets on soil chemical properties. The scales to present the uncertainties follow the IPCC guidelines for communicating uncertain information with "calibrated phrases", Mastrandrea et al., 2010 (https://archive.ipcc.ch/pdf/supporting-material/uncertainty-guidance-note.pdf), modified, as described by Lark et al (2019) in the references below, to reflect the findings of psychological studies on how such scales are interpreted. This map will allow users better to understand the uncertainty in the predicted soil concentrations of plant-available Mg, understood in comparison with the Index 2 threshold for which there are soil fertility management recommendations in the Nutrient Management Guide (RB209) published by AHDB. Soil Soil erosion OneGeology continent@Europe subcontinent@Northern Europe geographicarea@United Kingdom of Great Britain and Northern Ireland dataprovider@British Geological Survey serviceprovider@British Geological Survey DS_TOPIC@geoscientificinformation DS_DATE@2022 thematic@Soil thematic@Pedology thematic@Mineralogy thematic@Medical geology CRS:84 EPSG:4326 EPSG:3857 -6.2387342.07966649.94610555.806278 text/html Plant.available.Mg Plant–available soil magnesium (Mg) concentrations, in mg L‐1, are mapped for England and Wales. This layer is a prediction of concentrations derived from the combination of data from two separate soil fertility survey datasets. The mapped data provides a national–scale overview of variation, but can also be interrogated to show fine–scale variation. Mg concentrations may be compared to the Mg Index values in the agricultural Nutrient Management Guide (RB209). Soil Soil erosion OneGeology continent@Europe subcontinent@Northern Europe geographicarea@United Kingdom of Great Britain and Northern Ireland dataprovider@British Geological Survey serviceprovider@British Geological Survey DS_TOPIC@geoscientificinformation DS_DATE@2022 thematic@Soil thematic@Pedology thematic@Mineralogy thematic@Medical geology CRS:84 EPSG:4326 EPSG:3857 -6.2387342.07966649.94610555.806278 text/html